Lead Software Engineer - Big Data, Java/Python

We have an opportunity to impact your career and provide an adventure where you can push the limits of what's possible.

As a Lead Software Engineer at JPMorgan Chase within the Commercial & Investment Bank's Technology Team, you are an integral part of an agile team that works to enhance, build, and deliver trusted market-leading technology products in a secure, stable, and scalable way. As a core technical contributor, you are responsible for conducting critical technology solutions across multiple technical areas within various business functions in support of the firm’s business objectives. You’ll be tasked with keeping the team and other key stakeholders up to speed on the progress of what’s being developed. Coming in with an understanding of the importance of end-to-end software development-such as Agile frameworks-is key. And best of all, you’ll be working with and sharing ideas, information and innovation with our global team of technologists from all over the world.

Job responsibilities

• Executes creative software solutions, design, development, and technical troubleshooting with ability to think beyond routine or conventional approaches to build solutions or break down technical problems
• Develops secure high-quality production code, and reviews and debugs code written by others and enhance modern infrastructure, operations and advancement in stable and matured technology platforms 
• Enhance modern infrastructure, operations and advancement in stable and matured technology platforms. Identifies opportunities to eliminate or automate remediation of recurring issues to improve overall operational stability of software applications and systems
• Leads evaluation sessions with external vendors, startups, and internal teams to drive outcomes-oriented probing of architectural designs, technical credentials, and applicability for use within existing systems and information architecture
• Govern Architecture and Design Quality of Service in production environments
• Perform cross impact analysis with systems, products , third party technology & business stakeholders to ensure systemic changes are handled seamlessly
• Partner with firm wide technology architecture councils, working groups with the intent of defining, driving apt software development practices in product operating model. Document and deliver crisp communication in various artifacts as needed in product roadmap and execution to technology, product and business stakeholders.
• Work with requirements which may not be available to the last level of detail
• Work independently with very little supervision

Required qualifications, capabilities, and skills

• Formal training or certification on software engineering concepts and 5 years applied experience in software development and architecture
•  Experience in a Big Data technology (Hadoop and Spark Architecture, Performance tuning, Spark SQL, HIVE, SQOOP, KAFKA, Impala, HBASE, Entitlements etc., ) and in data analysis
• Hands-on practical experience delivering system design, application development, testing, and operational stability of application, data and infrastructure architecture disciplines
• Advanced in languages such as Java/Python in a large enterprise
• Extensive AWS & Cloud Foundry experience - transactional and analytical workloads
• Advanced understanding of agile methodologies such as CI/CD, developer tool chain, application resiliency, and security and operational experience with multiple applications running in Kubernetes clusters
• Expertise in modernization using micro-front end patterns, micro-services & APIs, Event Driven Architecture, Containerization/Kubernetes, and cloud databases 
• Familiarity with multiple enterprise integration patterns & techniques and heavy Production Systems experience
• Familiar with security & business risks, troubleshooting and root cause analysis 
• Experience in domain driven design, lean architecture and agile delivery, proven design patterns on frameworks, integration, resiliency, security, cost, high availability and scalability
• Hands on experience in building enterprise wide platforms or cloud PaaS/SaaS services is an advantage

• 3 years of experience in big data technology